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2020 – today
- 2025
[j5]Ariel Yuhan Ong
, Priyal Taribagil, Mertcan Sevgi, Aditya U. Kale, Eliot R. Dow, Trystan Macdonald, Ashley Kras, Gregory Maniatopoulos, Xiaoxuan Liu, Pearse A. Keane, Alastair K. Denniston, Henry David Jeffry Hogg:
A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. npj Digit. Medicine 8(1) (2025)- [c6]Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge:
Delving Into Out-of-Distribution Detection with Medical Vision-Language Models. MICCAI (5) 2025: 133-143 - [i16]Zijie Cheng, Boxuan Li, André Altmann, Pearse A. Keane, Yukun Zhou:
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales. CoRR abs/2501.02451 (2025) - [i15]Samantha Min Er Yew, Xiaofeng Lei, Jocelyn Hui Lin Goh, Yibing Chen, Sahana Srinivasan, Miao-li Chee, Krithi Pushpanathan, Ke Zou, Qingshan Hou, Zhi Da Soh, Cancan Xue, Marco Chak Yan Yu, Charumathi Sabanayagam, E. Shyong Tai, Xueling Sim, Yaxing Wang, Jost B. Jonas, Vinay Nangia, Gabriel Dawei Yang, Emma Anran Ran, Carol Yim-lui Cheung, Yangqin Feng, Jun Zhou, Rick Siow Mong Goh, Yukun Zhou, Pearse A. Keane, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham:
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? CoRR abs/2501.12016 (2025) - [i14]Qingshan Hou, Yukun Zhou, Jocelyn Hui Lin Goh, Ke Zou, Samantha Min Er Yew, Sahana Srinivasan, Meng Wang, Thaddaeus Wai Soon Lo, Xiaofeng Lei, Siegfried K. Wagner, Mark A. Chia, Dawei Yang, Hongyang Jiang, Emma Anran Ran, Rui Santos, Gábor Márk Somfai, Juan Helen Zhou, Haoyu Chen, Qingyu Chen, Carol Yim-lui Cheung, Pearse A. Keane, Yih Chung Tham:
Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? CoRR abs/2502.06289 (2025) - [i13]Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge:
Delving into Out-of-Distribution Detection with Medical Vision-Language Models. CoRR abs/2503.01020 (2025) - [i12]Fares Antaki, David Mikhail, Daniel Milad, Danny A Mammo, Sumit Sharma, Sunil K. Srivastava, Bing Yu Chen, Samir Touma, Mertcan Sevgi, Jonathan El-Khoury, Pearse A. Keane, Qingyu Chen, Yih Chung Tham, Renaud Duval:
Performance of GPT-5 Frontier Models in Ophthalmology Question Answering. CoRR abs/2508.09956 (2025) - [i11]Ke Zou, Jocelyn Hui Lin Goh, Yukun Zhou, Tian Lin, Samantha Min Er Yew, Sahana Srinivasan, Meng Wang, Rui Santos, Gábor Márk Somfai, Huazhu Fu, Haoyu Chen, Pearse A. Keane, Ching-Yu Cheng, Yih Chung Tham:
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis. CoRR abs/2508.11721 (2025) - [i10]Yukun Zhou, Paul Nderitu, Jocelyn Hui Lin Goh, Justin Engelmann, Siegfried K. Wagner, Emma Anran Ran, Hongyang Jiang, Lie Ju, Ke Zou, Sahana Srinivasan, Hyunmin Kim, Takahiro Ninomiya, Zheyuan Wang, Gabriel Dawei Yang, Eden Ruffell, Dominic Williamson, Rui Santos, Gábor Márk Somfai, Carol Y. Cheung, Tien Yin Wong, Daniel C. Alexander, Yih Chung Tham, Pearse A. Keane:
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics. CoRR abs/2509.03421 (2025) - [i9]Mertcan Sevgi, Fares Antaki, Abdullah Zafar Khan, Ariel Yuhan Ong, David Adrian Merle, Kuang Hu, Shafi Balal, Sophie-Christin Kornelia Ernst, Josef Huemer, Gabriel T. Kaufmann, Hagar Khalid, Faye Levina, Celeste Limoli, Ana Paula Ribeiro Reis, Samir Touma, Anil Palepu, Khaled Saab, Ryutaro Tanno, Valentin Liévin, Tao Tu, Yong Cheng, Mike Schaekermann, S. Sara Mahdavi, Elahe Vedadi, David Stutz, Vivek Natarajan, Alan Karthikesalingam, Pearse A. Keane, Wei-Hung Weng:
Complementary Human-AI Clinical Reasoning in Ophthalmology. CoRR abs/2510.22414 (2025) - 2024
- [j4]Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander:
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. Medical Image Anal. 93: 103098 (2024) - [i8]Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A. Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - [i7]Jay Zoellin, Colin Merk, Mischa Buob, Amr Saad, Samuel Giesser, Tahm Spitznagel, Ferhat Turgut, Rui Santos, Yukun Zhou, Sigfried Wagner, Pearse A. Keane, Yih Chung Tham, Delia Cabrera DeBuc, Matthias D. Becker, Gábor Márk Somfai:
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting. CoRR abs/2409.17332 (2024) - 2022
- [i6]Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander:
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. CoRR abs/2203.06425 (2022) - 2021
- [j3]Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane:
Code-free deep learning for multi-modality medical image classification. Nat. Mach. Intell. 3(4): 288-298 (2021) - [c5]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) 2021: 482-492 - [i5]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR abs/2104.12138 (2021) - 2020
- [j2]Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi:
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. npj Digit. Medicine 3 (2020) - [c4]Sotiris Nousias, Manolis I. A. Lourakis, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles:
A Linear Approach to Absolute Pose Estimation for Light Fields. 3DV 2020: 672-681
2010 – 2019
- 2019
- [c3]Adrian Gh. Podoleanu, Ramona Cernat, Adrian Bradu, Manuel Marques, Niels Møller Israelsen, Ole Bang, Sylvain Rivet, Pearse A. Keane, David Garway-Heath, Ranjan Rajendram:
Gabor Fusion Master Slave Optical Coherence Tomography. ICTON 2019: 1 - [c2]Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas:
A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images. MIUA 2019: 231-241 - 2018
- [j1]Pearse A. Keane, Eric J. Topol:
With an eye to AI and autonomous diagnosis. npj Digit. Medicine 1 (2018) - [i4]Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee:
Forecasting Future Humphrey Visual Fields Using Deep Learning. CoRR abs/1804.04543 (2018) - [i3]Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR abs/1810.10342 (2018) - 2017
- [c1]Sotiris Nousias, François Chadebecq, Jonas Pichat, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles:
Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras. ICCV 2017: 957-965 - [i2]Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Christof Angermüller, Joe Ledsam, Reena Chopra, Pearse A. Keane, Greg Corrado, Lily Peng, Dale R. Webster:
Deep learning for predicting refractive error from retinal fundus images. CoRR abs/1712.07798 (2017) - 2016
- [i1]Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise:
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5: 1573 (2016)
Coauthor Index
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last updated on 2025-11-17 01:14 CET by the dblp team
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